distances {Rtreemix} | R Documentation

## Different distances between two given vectors

### Description

These functions are used for calculating different distances between two given vectors. Thus, `L1.dist` calculates the L1 distance, `cosin.dist` calculates the cosine distance, `euclidian.dist` computes the Euclidian distance, and `rank.cor.dist` computes the rank correlation distance. The vectors have to have same length. When using `rank.cor.dist` the vectors have to have length larger than 4.

### Usage

    L1.dist(p, q)
    cosin.dist(p, q)
    euclidian.dist(x, y)
    rank.cor.dist(x, y)

### Arguments

`p` | A `numeric` vector specifying the first component for the distance calculation. It has to have the same length as `q`.
`q` | A `numeric` vector specifying the second component for the distance calculation.
`x` | Same as `p`.
`y` | Same as `q`.

### Value

The functions return the distance between the two given vectors.

### Author(s)

Jasmina Bogojeska

### See Also

`kullback.leibler`, `L2.norm`, `stability.sim`

### Examples

    ## Define two numeric vectors with equal lengths (> 4).
    x <- c(1, 2, 3, 4, 5)
    y <- c(5, 6, 7, 8, 9)

    ## Calculate the L1 distance between the vectors x and y
    L1.dist(x, y)

    ## Calculate the Euclidian distance between the vectors x and y
    euclidian.dist(x, y)

    ## Calculate the cosine distance between the vectors x and y
    cosin.dist(x, y)

    ## Calculate the rank-correlation distance between the vectors x and y
    rank.cor.dist(x, y)

[Package Rtreemix version 1.6.0 Index]